Jobspring Partners: Talent in Action

  • Posted:

    September 11, 2017

  • Compensation:

    $150-180K DOE

  • City, State:

    Palo Alto, CA

  • Technologies:

    DevOps

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Senior Site Reliability Engineer

Job Description

A stealth mode startup specializing in Machine Learning is looking to bring on a Lead Operations Engineer to their growing company, and they are willing to pay up to $180,000 for this role. You will play a critical role in building the world's first mainstream solution to machine learning powered by an autonomous distributed system that infers statistical models from web-scale data. The system follows fundamental statistical principles under strict computational constraints while rigorously evaluating and benchmarking itself on a large, diverse collection of real-world data sets and applications. Building this type of mainstream platform requires close coordination among several research and engineering disciplines, each with crucial responsibilities.

You will help design and implement the wide array of distributed systems and services. You will help design novel data structures, algorithms, and help architect and build various subsystems, including those for streaming data processing, storage, and analytics.

Required Skills & Experience

  • Must have strong Cloud skills (AWS, GCE, Azure)
  • Extremely strong with automation
  • Strong coding skills in Python or Bash (Go experience is an additional plus)
  • Having startup experience is highly recommended
  • Any Machine Learning knowledge is a plus

Benefits & Perks

As a contractor you will receive the following benefits:

  • Medical Insurance & Health Savings Account (HSA)
  • 401(k)
  • Paid Sick Time Leave
  • Pre-tax Commuter Benefit
  • Impressive leadership 
  • Free daily lunches/endless beverages and snacks
  • Unlimited vacation

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  • Jeffrey Garavaglia

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  • Jobspring San Jose - NIN
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